Miroslaw Chamera, CEO, ARIADNE Engineering

Welcome and introduction to the Model-Based Enterprise (MBE) concept and the conference.

Narendra Akhadkar, Schneider Electric

Explore how digital twin technology combined with Model-Based Definition (MBD) transforms component qualification, predictive maintenance, and design iteration, enhancing efficiency and sustainability.

Fredrik Montelius, Hitachi Energy Components

Learn how Hitachi Energy implemented MBD to improve supplier information management, quality control, and tolerance analysis.

Aleksa Dopudja, Capvidia

Discover the impact of MBD in industries like aerospace, automotive, and consumer goods, including case studies that show how MBD improves collaboration and operational efficiency.

Markus Grann, Hexagon & Mats Johansson, Dynamate

This session explores how 3D models with semantic PMI are integrated into Hexagon's PCDmis software for automated metrology, improving the accuracy of inspections.

Dan Feighery, Action Engineering

Successfully adopting and integrating digital practices and technologies in pursuit of a Model-Based Enterprise is more than just incorporating new tools into an organization’s software stack and digitizing data. Gain insights from recent MBD and MBE projects to optimize digital product definition authoring practices for data re-use throughout the product life cycle.

Fredric Constantino, ASME

ASME is updating standards for model-based operations through its MBE Standards and MBE & Y14 Harmonization Committees. Working with ISO TC 10, they align digital product definitions across ASME Y14.41, Y14.47, and ISO 16792. The presentation will cover current initiatives and how to get involved to maximize your model-based investments.

Tom Groff, Kotem

Jakob Åsell, CTO, Modular Management

Andrew Pierce, GE Appliances

Andrew Pierce shares how GE Appliances cultivates an entrepreneurial spirit to empower leaders at all levels to drive digital transformation. This session explores how innovation, iterative development, and a willingness to fail forward have reshaped engineering culture and accelerated progress. Attendees will gain insights into balancing adaptive and predictive approaches, fostering ownership, and building momentum for lasting change through curiosity, collaboration, and continuous improvement.

Dennys Gomes, Vestas

Vestas began its Model-Based Definition (MBD) journey in 2017 to replace traditional 2D drawings with annotated 3D models, enhancing clarity and efficiency across the value chain. After extensive research and collaboration, MBD deployment began in 2021 using PTC tools. The initiative addresses supplier challenges, optimizes Creo methods, and supports digital transformation through training, governance, and phased implementation. With a focus on reusable frameworks, digital threads, and technical data packages, Vestas is progressing toward a model-based enterprise. This presentation shares insights, lessons, and the transformative potential of MBD in engineering and manufacturing.

Karl Henrik Ryttersson, ARIADNE Engineering AB

Model-Based Tolerance Analysis integrates directly with 3D CAD to automate product development, using ISO GPS and functional reference systems to define geometry and ensure quality while controlling costs. By capturing product function and optimizing tolerances, it streamlines quality control and achieves the ideal balance between performance and manufacturing expense.

Leo Broers, Coresy Inc

Learn about the future of MBE and AI integration in design for manufacturability and cost optimization, and how it transforms the manufacturing process.

Ed Walsh, Sigmetrix

Ed Walsh explores how tools like CETOL and EZtol are democratizing tolerance analysis and making dimensional management more accessible in the MBD environment.

Helena Björk, RISE

Helena discusses how metrology is evolving in the context of smart manufacturing, and the critical role MBE plays in enhancing manufacturing efficiency and precision.

Coskun Islam, Sandvik Manufacturing Solutions

This session demonstrates how Sandvik, using the Up2Parts AI platform combined with GibbsCAM or Mastercam, leverages 3D models enriched with Product and Manufacturing Information (PMI) to automatically generate NC programs. That greatly reduces CAM programming time, minimizes human error, and shortens lead times from design to first article.

Dr. Sven Kleiner, em engineering methods AG, Germany

Digital masters and digital twins drive the product lifecycle by leveraging fully linked 3D CAD, ISO‑GPS, and PMI in a Model‑Based Enterprise—spanning CAD/CAM, CAQ, and supply chains. This session explores new workflows, best practices, technology solutions, and industry use cases (aerospace, automotive, machinery), concluding with a forward‑looking view on digital twins in engineering and operations.

Kieran Ciniewicz, Manufacturing Technology Centre (MTC)

Kieran will present on automated, 3D, MBD-based tolerance analysis and its impact on product quality and manufacturing cost.